Question
In: Statistics and Probability
Dr. Su is interested in whether males and females differ in their verbal ability. She selects...
Dr. Su is interested in whether males and females differ in their verbal ability. She selects 5 males and 5 females to participate in her study. She administers everyone a test of verbal ability (scores ranging between 0-20, higher scores represent higher ability). Here are the scores Males: 10, 10, 12, 12, 16 Females: 9, 12, 12, 15, 17 Set up non-directional hypotheses for the independent t-test. Provide the decision rule, illustrating with a drawing. Conduct an independent t-test, report your decision. What is your conclusion?
Solutions
orchestra answered 1 year agoRelated Solutions
A sociologist is interested in the voting rates of males and females. Two hundred males and...
A sociologist is interested in the voting rates of males and
females. Two hundred males and two hundred females are randomly
sampled. Of these, seventy percent of males and sixty percent of
females voted in the last election. Construct a 95% confidence
interval around the difference in the proportion of men and women
in the population who voted in the last election.
Test the null hypothesis that, in the population, there is no
difference in the proportion of men and...
1. A sociologist is interested in the voting rates of males and females. Two hundred males...
1. A sociologist is interested in the voting rates of
males and females. Two hundred males and two hundred females are
randomly sampled. Of these, seventy percent of males and sixty
percent of females voted in the last election.
a. Construct a 95% confidence interval around the
difference in the proportion of men and women in the population who
voted in the last election.
b. Interpret this interval.
c.
Test the null hypothesis that, in the population, there
is no...
Dr. Kovaleski is interested in examining whether quantity ofsleep impacts problem solving ability. To test...
Dr. Kovaleski is interested in examining whether quantity of
sleep impacts problem solving ability. To test problem solving
ability, the research team gave participants a puzzle and measured
how long it took participants to solve the puzzle in minutes. A
group of participants were instructed to sleep 5 hours and then
solve the puzzle in the morning. Then the same participants were
instructed to sleep 7 hours and then solve a different puzzle in
the morning. Then, participants were asked...
Dr. Kovaleski is interested in examining whether quantity of sleep impacts problem solving ability. To test...
Dr. Kovaleski is interested in
examining whether quantity of sleep impacts problem solving
ability. To test problem solving ability, the research team gave
participants a puzzle and measured how long it took participants to
solve the puzzle in minutes. A group of participants were
instructed to sleep 5 hours and then solve the puzzle in the
morning. Then the same participants were instructed to sleep 7
hours and then solve a different puzzle in the morning. Then,
participants were asked...
Dr. Kovaleski is interested in examining whether quantity of sleep impacts problem solving ability. To test...
Dr. Kovaleski is interested in examining whether quantity of
sleep impacts problem solving ability. To test problem solving
ability, the research team gave participants a puzzle and measured
how long it took participants to solve the puzzle in minutes. A
group of participants were instructed to sleep 5 hours and then
solve the puzzle in the morning. Then the same participants were
instructed to sleep 7 hours and then solve a different puzzle in
the morning. Then, participants were asked...
A researcher is interested in the amount of soda consumption for males and females compared to...
A researcher is interested in the amount of soda consumption
for males and females compared to the population. Suppose that the
researcher selects a sample of n = 36 male undergraduates and a
sample of n = 25 female undergraduates. On average, males reported
consuming M = 2.45 drinks per month, while females averaged M =
1.47 drinks per month. Assuming an overall average for
undergraduates of μ= 1.85 drinks per month with a standard
deviation σ=1.2, please answer the...
Question: Did males and females differ in their levels of supporting others? a. Report the results...
Question: Did males and females differ in their levels of
supporting others?
a. Report the results to answer the question above in
context.
ANOVA - SUPPORTING_OTHERS
Homogeneity Correction
Cases
Sum of Squares
df
Mean Square
F
p
η²
η² p
ω²
None
GENDER
0.660
1.000
0.660
0.055
0.815
4.469e -4
4.469e -4
0.000
Residuals
1476.332
123.000
12.003
Welch
GENDER
0.660
1.000
0.660
0.053
0.819
4.469e -4
4.469e -4
0.000
Residuals
1476.332
85.355
17.296
Dr. Smile is interested in evaluating whether 7-year-old autistic children differ from the general population of...
Dr. Smile is interested in evaluating whether 7-year-old
autistic children differ from the general population of 7-year-old
children in their ability to recognize facial expressions. She
develops the Facial Recognition Test, which has mean = 200 among
the general population of 7-year-olds. Dr. Smile collects data on a
sample of 16 children with autism. In this sample Xbar = 180 and s
= 12.
A) using alpha= 0.05 and a two-tailed test, conduct a one-sample
t-test evaluating the null hypothesis....
A researcher is interested in studying if males and females have the same attitude toward abortion....
A researcher is interested in studying if males and females have
the same attitude toward abortion. Attitude toward abortion is
measured by a scale, ranging from 1 to 10. A high score indicates
strong opposition to abortion under any circumstances. Descriptive
statistics obtained from random samples of male and female
populations are presented below.
Male: Female:
n1=11 n2=20
x1=6.2 x2=4.5
s1=1.6 s2=1.8
Test the hypothesis that there is a significant difference in
average scores in attitude on abortion scale by...
We are interested in comparing the percentage of females versus males who feel they are overweight....
We are interested in comparing the percentage of females versus
males who feel they are overweight. The following data was
collected:
What is the 95% confidence interval for the difference in
proportion between women and men?
What is the test statistic?
Male or Female
Total Surveyed
Number who feel they are overweight
Female
146
32
Male
84
15
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